Identification of Methane Emissions in an Urban Setting ESRL - - PowerPoint PPT Presentation

identification of methane emissions in an urban setting
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Identification of Methane Emissions in an Urban Setting ESRL - - PowerPoint PPT Presentation

Identification of Methane Emissions in an Urban Setting ESRL Global Monitoring Annual Meeting May17-18, 2011 Collaborators in this effort Nathan Phillips & Lucy Hutyra Boston University Jocelyn Turnbull & Colm Sweeney


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SLIDE 1

Identification of Methane Emissions in an Urban Setting

ESRL Global Monitoring Annual Meeting May17-18, 2011

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SLIDE 2
  • Nathan Phillips & Lucy Hutyra – Boston University
  • Jocelyn Turnbull & Colm Sweeney – NOAA/ESRL
  • Paul Shepson & Maria Obiminda Cambaliza – Purdue
  • Eric Crosson, Chris Rella, & Sze Tan – Picarro, Inc.
  • Robert Ackley – Gas Safety, Inc.

Collaborators in this effort

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SLIDE 3
  • As an extension of the INFLUX work

– Identify methane source locations and gather information

  • n methane flux signals (relative magnitudes).
  • Provide prior knowledge for inversion models.
  • Data to help validate inversion model results.
  • Information to help improve flux measurements from aircraft.
  • Data could help to model cross-wind dispersion in an urban

environment.

Objectives of this effort

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SLIDE 4

Method: Measuring Methane Plumes to Determine Source Locations

Methane Source

Wind

methane plume

  • Map out methane concentrations

while driving along roads and highways.

– CH4: 2 ppb precision at 0.5 Hz. – GPS data – Wind velocity

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SLIDE 5

Method: Identifying methane source locations

Sources Reconstruction Guidance from Simple Gaussian Plume Model

Source locations calculate from plumes

methane source and plume roads

Four source locations Winds: 0 to 360

  • in 20
  • steps

Atmospheric stability class C

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SLIDE 6

Model Results: Winds from only two orthogonal directions…….source location looks possible.

Class A

Sources Reconstruction

Atmospheric Stability Class F

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SLIDE 7

From Models to Reality: Measurements in Indianapolis

108.560 108.561 108.562 108.563 108.564 5 10 15 20 25 30 35 40

Methane (ppm) PlumeRUN1-4_19_2011-Data-landfill

Methane Concentration (parts per million)

Methane Measurements Taken While Driving

Distance Traveled

Methane measurements while driving through plume

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SLIDE 8

“Methane Maps” of Indianapolis

Wind direction, 23km/hr

1 2 3 4 5

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SLIDE 9

Some Sources are easy to Identify

1 2 3 4 5

> 25 ppm

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SLIDE 10

Others are NOT so Easy

1 2 3 4 5

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Methane Data Taken the Next Day

Wind direction, 23km/hr

1 2 3 4 5 6 7 8

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Reproducibility of Plume Measurements

45 minutes

Repeated landfill plume measurements taken while driving 2 km from source. (Location: Danville, IN)

  • Wind speed = 3.8 ± 1.2 km/hr
  • Source Flux ≅ 7,000 grams / minute

1.5 km

High variability in plume shape. Take advantage by……

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SLIDE 13

Stationary Tracer Method to Assess Fluxes

  • Fixed location 1300 m downwind of landfill
  • Natural variation in wind direction & wind speed will cause variability in

signal as the plumes sweep across the detection point

  • High correlation indicates good overlap between plumes

methane acetylene

Landfill

Wind

methane plume tracer plume

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SLIDE 14

Methane Flux Determination (Location: Danville, IN)

  • Plot methane vs.

acetylene.

  • Slope of line

gives ratio of emission rates.

= 7.5 moles / s

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SLIDE 15

A Very Complex Methane Map: Boston

Play Video

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SLIDE 16

Natural Gas Leaks in and around Boston

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SLIDE 17

Natural Gas Leaks Destroying Vegetation

  • Leaks in aging natural gas pipelines are killing trees all

across the northeast.

– Natural gas leaks can kill trees by displacing oxygen in the soil and drying out their roots. – 7,500 to 10,000 trees affected in Boston area alone.

  • Several cities are asking for damages in excess of $1M

each.

http://natgaspollutes.com Flux (cubic feet / m2-day) at surface Gas in air 8” below surface

0.237 26% 1.407 48% 1.007 80% 0.012 63%

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SLIDE 18
  • Identification of methane source locations by

driving around looks possible.

  • Flasks need to be analyzed.
  • Need model to reconstruct methane probability

distribution from plume data.

  • Need to take more systematic data.

Summary